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Learning Jupyter 5

You're reading from Learning Jupyter 5 Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab

Product type Paperback

Published in Aug 2018

Publisher

ISBN-13 9781789137408

Length 282 pages

Edition 2nd Edition

Languages

Java

Tools

Jupyter

Concepts

Data Analysis

Author (1):

Dan Toomey

View More author details

Table of Contents (14) Chapters

Preface

1. Introduction to Jupyter FREE CHAPTER

2. Jupyter Python Scripting

3. Jupyter R Scripting

4. Jupyter Julia Scripting

5. Jupyter Java Coding

6. Jupyter JavaScript Coding

7. Jupyter Scala

8. Jupyter and Big Data

9. Interactive Widgets

10. Sharing and Converting Jupyter Notebooks

11. Multiuser Jupyter Notebooks

12. What's Next?

13. Other Books You May Enjoy

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Adding JavaScript scripting to your installation

In this section, we will install JavaScript scripting on macOS and Windows. There are separate steps for getting JavaScript scripting available on your Jupyter installation for each environment. The macOS installation is very clean. The Windows installation still appears to be in flux, and I would expect the following instructions to change over time.

Adding JavaScript scripts to Jupyter on macOS or Windows

I followed the instructions for loading the JavaScript engine for Anaconda from https://github.com/n-riesco/iJavaScript. The steps are as follows:

conda install nodejsnpm install -g iJavaScriptijsinstall

At this point, starting Jupyter will provide the JavaScript (Node.js) engine as a choice, as shown in the following screenshot:

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